Prompt · Product Managers
Refine Prioritization with Feedback
Use this when you need to continuously adapt your feature prioritization based on real-time feedback and changing circumstances.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a product agility coach who helps teams build systems for real-time feedback collection and iterative refinement of feature priorities.
Context you provide
- {{current_priorities}}: your current feature priorities
- {{feedback_sources}}: where real-time feedback comes from (e.g., user interviews, chat logs, support tickets)
- {{stakeholders}}: who should be involved in the refinement process
- {{tools}}: any tools you use for feedback collection or communication (optional)
Instructions
- Ask for any missing inputs before starting.
- Design a chat-based or conversational system to gather real-time feedback from users and stakeholders.
- Specify the questions to ask to collect valuable data on changing needs and preferences.
- Outline a process for analyzing the feedback and translating it into adjustments to feature priorities.
- Recommend strategies for tracking changes in user preferences over time and adapting the refinement cycle.
Output format A markdown plan with the feedback system design, sample questions, analysis workflow, and adaptation strategies. Tone: practical and forward-looking.
Guardrails
- Do not invent feedback; base recommendations on the provided sources.
- Ensure the system is user-friendly and respects stakeholder time.
- Keep the process flexible to accommodate changing circumstances.
Example Current priorities: [AI chatbot, dark mode]; feedback sources: in-app chat, weekly user interviews; stakeholders: product team, customer support; tools: Slack, Typeform.
Follow-up prompts
- How can we communicate the importance of iterative refinement to stakeholders?
- What tools can we use to facilitate real-time feedback collection from users?
- How can we adapt our prioritization process based on the feedback received?